fix testing

This commit is contained in:
Jade Choghari
2025-11-25 14:52:27 +01:00
parent abaf870e00
commit 066fb1bd5d
2 changed files with 10 additions and 10 deletions
+2 -8
View File
@@ -14,7 +14,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import importlib
from typing import TYPE_CHECKING, Any
from typing import Any
import gymnasium as gym
from gymnasium.envs.registration import registry as gym_registry
@@ -22,16 +22,10 @@ from gymnasium.envs.registration import registry as gym_registry
from lerobot.configs.policies import PreTrainedConfig
from lerobot.envs.configs import AlohaEnv, EnvConfig, LiberoEnv, PushtEnv
from lerobot.envs.utils import _call_make_env, _download_hub_file, _import_hub_module, _normalize_hub_result
from lerobot.policies.xvla.configuration_xvla import XVLAConfig
from lerobot.processor import ProcessorStep
from lerobot.processor.env_processor import LiberoProcessorStep
from lerobot.processor.pipeline import PolicyProcessorPipeline
from lerobot.utils.import_utils import _transformers_available
# Conditional import for type checking and lazy loading
if TYPE_CHECKING or _transformers_available:
from lerobot.policies.xvla.configuration_xvla import XVLAConfig
else:
XVLAConfig = None
def make_env_config(env_type: str, **kwargs) -> EnvConfig:
@@ -19,7 +19,7 @@
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Any
from typing import TYPE_CHECKING, Any
from lerobot.configs.policies import PreTrainedConfig
from lerobot.configs.types import FeatureType, NormalizationMode, PolicyFeature
@@ -27,7 +27,13 @@ from lerobot.optim.optimizers import AdamWConfig
from lerobot.optim.schedulers import CosineDecayWithWarmupSchedulerConfig
from lerobot.utils.constants import OBS_IMAGES
from .configuration_florence2 import Florence2Config
# Conditional import for type checking and lazy loading
from lerobot.utils.import_utils import _transformers_available
if TYPE_CHECKING or _transformers_available:
from .configuration_florence2 import Florence2Config
else:
Florence2Config = None
@PreTrainedConfig.register_subclass("xvla")